Siril 1.0

Normalisation matches the mean background of all input images, then, the normalisation is processed by multiplication or addition. Keep in mind that both

processes generally lead to similar results but multiplicative normalisation is prefered for image which will be used for multiplication or division as flat-field.

- Scale matches dispersion by weighting all input images. This tends to improve the signal-to-noise ratio and therefore this is the option used by default with

the additive normalisation.

The offset and dark masters should not be processed with normalisation.

However, multiplicative normalisation must be used with flat-field frames.